Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 60.000 to 80.000€ Gross/Year
- Location
- Hörsching
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you focus on ETL processes, data modeling, and providing Data Marts while ensuring reliable data integration from various sources and utilizing modern tools.
Job Technologies
Your role in the team
- As a Senior Data Scientist, you will play a key specialist role in our IT department. The focus is on the technical data infrastructure: from staging and ETL processes to data modeling, up to the deployment of clean Data Marts and semantic models.
- In this area, you work independently and ensure that data from different source systems is processed reliably, transparently, and efficiently.
- Requirements and project management are handled by a dedicated contact person – you can focus on the technical implementation.
- You are eager to use new tools and AI.
- Further development and maintenance of our existing Data Warehouse.
- Development and maintenance of staging, core, and data mart structures.
- Development, maintenance, and optimization of ETL processes with SSIS.
- Integration of data from various sources such as accounting systems, TMS, WMS, portals, Excel files, and APIs.
- Development and optimization of SQL queries, views, stored procedures, and database objects.
- Performance tuning in the Microsoft SQL Server environment.
- Support and further development of SSAS models.
- Provision of clean data models for Power BI and further analytical purposes.
- Ensuring data quality, logging, monitoring, and error handling.
- Version control with GitLab.
- Creation and maintenance of technical documentation.
- Meaningful use of AI tools to support development, documentation, analysis, and code reviews.
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Our expectations of you
Education
- Completed degree in Data Science, Computer Science, Business Informatics, or a comparable qualification.
Qualifications
- Very good SQL skills, ideally in a Microsoft SQL Server environment (on-premise).
- Understanding of staging concepts, Data Marts, relational modeling, and data integration.
- Knowledge of SSAS or comparable semantic data models.
- Basic understanding of Power BI, especially regarding data models and data provisioning.
- Proficient handling of heterogeneous data sources, interfaces, files, and APIs.
- Structured working style, high sense of responsibility, and enjoyment of clean technical implementation.
- Openness to new technologies and the meaningful use of AI in the development process.
- Subject-specific English skills.
- Knowledge of DAX.
Experience
- Several years of experience in building, operating, and developing Data Warehouses.
- Extensive experience with ETL processes, preferably with SSIS.
- Experience with performance optimization of queries and load processes.
- Experience with version control, ideally with Git.
- Experience in logistics, transportation, or warehousing environment.
- Experience with automated testing or data quality checks in the DWH environment.
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What we offer
- A central technical specialist role with a lot of scope for shaping and influence.
- An existing data warehouse with clear potential for further development.
- Independent work without managerial responsibility.
- A friendly, amicable IT team with short communication channels.
- Modern working methods and openness to AI-supported development.
- Canteen with freshly cooked food.
- Fair internal IT salary scheme based on experience and qualifications.
- The salary range for this position is EUR 60,000 to EUR 80,000 gross per year.
- The actual salary depends on qualifications, experience, and personality, and is determined collaboratively.
- This is an all-inclusive salary, which already includes any overtime hours worked.
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Topics that you deal with on the job
Job Locations
This is your employer
Schachinger Logistik
Die Schachinger Logistik GmbH ist eine österreichische Logistikfirma.
Description
- Founding year
- 1939
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Logistics, Transportation
